Resources

June 11, 2023

Unlocking the Power of a Data Catalog for Your Business

The importance of data quality & profiling for the success of Machine Learning In today's world, businesses around the globe are generating a vast amount of data. To be able to adopt a data-driven initiative, organizations must manage data...

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Unlocking the Power of a Data Catalog for Your Business
Privacy preserving synthetic data

Identity Disclosure Risk in a Fully Synthetic Dataset

In today's digital age, data has become an integral part of every organization's operations. Companies gather and analyze vast amounts of data to make informed decisions and gain insights into their customers' behavior and preferences....

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YData Synthetic

The Synthetic Data Generation with new experience in Open Source

ydata-synthetic v1.0 introduces a state-of-the-art generative model that generalizes for a bunch of datasets in a user-friendly interface. We are thrilled to announce that ydata-synthetic v1.0 is officially out! With an improved generative...

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Using synthetic data to overcome bias in ML

Using synthetic data to overcome bias in Machine Learning

Machine Learning models are excellent tools to analyze large data sets and can have incredible accuracy in challenging tasks, from face recognition to credit scoring. Unfortunately, these models are not entirely free from bias and can...

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YData SDK

Synthetic data SDK now available for everyone

The Data-Centric AI toolkit for data quality profiling and synthetic data generation We are proud to announce that the YData SDK is now officially available to the broader data science community. With a single line of code, any team or...

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YData joined NayaOne marketplace

YData joined NayaOne marketplace

We're excited to announce that YData has joined the NayaOne Marketplace, making YData’s end-to-end data-centric development platform accessible to an assortment of organisations. It will benefit institutions who are seeking to improve...

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Synthetic Data in Privacy Engineering

The role of Synthetic Data in Privacy Engineering

With the astonishing amount of data being collected and processed nowadays, privacy and security have become a significant concern for both individuals, organizations, and governments. Ensuring the privacy of sensitive and personal...

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Synthetic data for data-sharing

Why synthetic data for data-sharing

The creation of new business models and the need to find the right competitive edge is the drive for the growing adoption of AI initiatives. Digital transformation is a heavy legacy transformation and not a 6 months project, nevertheless,...

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YData Profiling

YData Profiling: The debut of Pandas Profiling in the Big Data world

Not a month has passed since the celebration of Pandas Profiling as the top-tier open-source package for data profiling and YData’s development team is already back with astonishing fresh news. The most popular data profiling package on...

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Cloud Azure and AWS

YData Fabric available on Azure and AWS with 15-day free trial

YData Fabric is now available through the Amazon Web Services (AWS) and Microsoft Azure Marketplaces, and to make it even more accessible to our users, we are offering a 15-day free trial. This means that users of these well-known cloud...

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Open source, Pandas Profiling, logo.

YData's open-source, Pandas Profiling, hits 10K Stars on GitHub

YData is proud to announce that our open-source data profiling package, Pandas Profiling, has recently reached an outstanding milestone of 10,000+ stars on GitHub. This achievement is not only a great success for the team but also a...

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Top 5 trends in AI 2023

Top 5 trends in AI for 2023

Artificial intelligence (AI) is a fast-moving field showing no signs of slowing down in 2023. As new technologies emerge daily, it is crucial to analyze and be aware of the latest trends as they will influence the tools available to most...

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Predict and Prevent Customer Churn in Telecommunication

Predict and Prevent Customer Churn in Telecommunication

The telecommunication industry is undergoing a seismic transformation, and companies must place data at the forefront of strategy to survive against growing competitive pressures. Many operators have yet to establish a data-centric...

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